Pragmatic AI Labs

OO: Python to Rust

本课程是 Rust for Data Engineering 专项课程 的一部分

Noah Gift

位教师:Noah Gift

包含在 Coursera Plus

深入了解一个主题并学习基础知识。
中级 等级

推荐体验

6 小时 完成
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
中级 等级

推荐体验

6 小时 完成
灵活的计划
自行安排学习进度

您将学到什么

  • Apply a receipt-driven, three-mode workflow (Discover, Refactor, Translate) to move object-oriented Python code into idiomatic Rust.

  • Translate Python class hierarchies into Rust structs, traits, enums, and the type-state pattern using composition over inheritance.

  • Score Python-to-Rust translation pull requests using a breakeven analysis and complexity-claim review rubric.

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May 2026

作业

1 项作业

授课语言:英语(English)

91%

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积累特定领域的专业知识

本课程是 Rust for Data Engineering 专项课程 专项课程的一部分
在注册此课程时,您还会同时注册此专项课程。
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该课程共有5个模块

Every Big-O claim in this course ships with three independent receipts: an EMPIRICAL bench (criterion measures the curve), a STRUCTURAL guard (Rust types and proptest enforce it), and a FORMAL theorem (Lean 4 machine-checked, displayed as a [verified] stamp). Complexity is a CLAIM about how runtime or memory scales with input size. In this module you learn the c24 workflow: write the claim as a contract, bind it to your Rust pub item, then attach the three receipts. A CLAIM of O(N) survives only if the slope on a log-log plot stays linear from N=10 to N=1,000,000.

涵盖的内容

3个视频7篇阅读材料

In this module you will master Empirical Wins — the speedups you can measure with cargo bench. You will translate three Python patterns to Rust idioms that drop runtime and memory: list comprehensions become fused iterator chains (filter+map in one pass, O(1) memory vs O(N)); x in dict becomes HashMap::contains_key with hasher choice as a c24 receipt (FxHash, AHash, or default SipHash, each measured); and sorted() becomes sort_unstable for cases where stability is not required. Every claim ships with criterion HTML reports as the EMPIRICAL receipt, a STRUCTURAL guard from Rust's type system, and a [verified] stamp from a FORMAL theorem.

涵盖的内容

3个视频6篇阅读材料

Python Optional[T] becomes Rust Option<T> with proptest sweeping every combinator chain; Python try/except becomes Result<T, E> with @semantic: total promoting every fallible function — the structural receipt that makes silent failure impossible.

涵盖的内容

3个视频6篇阅读材料

Systems-level translation makes the runtime trade-off visible. Python generators allocate per-call frame state and pay GIL overhead; Rust Iterator is monomorphized into the caller's stack — the structural receipt is the criterion bench showing a ~50x tight-loop gap. subprocess.run with sh -c re-introduces CWE-78 shell injection; Command::new().arg() invokes execve directly and removes the attack surface entirely. threading on CPython is serialized by the GIL; rayon::par_iter() distributes work across all cores via a Send + Sync work-stealing scheduler whose data-race bugs are compile errors. Each translation in this module is a runtime claim with a measurable receipt.

涵盖的内容

3个视频6篇阅读材料

The capstone closes the loop with a five-step playbook — transpile, inspect, refine, bench, prove — that you can apply to any hot Python loop and ship a receipt-backed Rust translation. Every Pull Request lands four receipts: criterion HTML report, proptest run, contract pv check, and a Lean status: proved stamp. The second lesson is the inverse: when the receipt-driven math says keep Python. Breakeven analysis, BREAKEVEN.md, and a final graded quiz that synthesizes Modules 1–5.

涵盖的内容

2个视频6篇阅读材料1个作业

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位教师

Noah Gift
Pragmatic AI Labs
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